Statistical Analysis of Research Data
Overview: Recent advances in cancer biology have resulted in the need for increased statistical analysis of research data. SARD is designed to provide an overview on the general principles of statistical analysis of research data.
The Statistical Analysis of Research Data (SARD) course will be held on January 6-7, 2020 from 9 a.m.-5 p.m. at the National Institutes of Health's Natcher Conference Center, Balcony C on the Bethesda Campus.
The course will be taught by Paul W. Thurman of Columbia University. The first day will feature univariate data analysis, including descriptive statistics, probability distributions, one- and two-sample inferential statistics. The second day will feature bivariate data analysis including bivariate statistics, linear regression non-parametric tools and goodness of fit tests
- The participation of NIH/NCI clinical and postdoctoral fellows is encouraged.
- Class size is limited to the first 50 registrants.
Paul Thurman, M.B.A., Columbia University
Registration is now open. The deadline for registration is January 3, 2020. The first 50 registrants will be accommodated. The registration form is available online, click here to register. The course will be directed by Dr. Terry Moody, phone (240-276-7785).
Location and General Information
The sessions will start at 9 a.m. A lunch break will occur at 12 noon-1 p.m. The sessions will conclude at 5 p.m.
Related Training Opportunities
This course is part of a developing curriculum for training of NCI clinical and postdoctoral fellows. Each Fall, a course in "Translational Research in Clinical Oncology" (TRACO) hosted by Dr. T. Moody is offered primarily for NIH postdoctoral fellows.
Also Demystifying Medicine for PhDs has 2 hours of lecture each week from January-May and the course is hosted by Dr. Irvin M. Arias. For additional opportunities for postdoctoral training at NIH, view https://www.training.nih.gov/
Contact Dr. Terry Moody at email@example.com or 240-276-7785.
William. D. Figg, Pharm.D.
Terry Moody, Ph.D.
Jonathan Wiest, Ph.D.